Purpose: To investigate the causes of isolated ocular motor nerve palsy in patients with a history of cancer. Methods: The charts of 30 patients with cancer diagnosed with isolated acquired third, fourth, and sixth cranial nerve palsies from March 2013 to December 2021 were retrospectively reviewed. Sex, age of onset, underlying disease and causes of cranial nerve palsy were analyzed. Results: Sixth cranial nerve palsy (n = 18, 60.0%) was the most common. Brain metastasis (n = 13, 43.3%) was the most common etiology, followed by microvascular causes (n = 11, 36.7%), radiation-induced neuropathy (n = 2, 6.7%), and undetermined (n = 4, 13.3%). Among the 13 patients with palsies due to brain metastasis, only one (7.7%) had been in complete remission for more than 1 year. Of the remaining 17 patients with other causes, seven (41.2%) had been in complete remission of a previously diagnosed cancer for more than 1 year. Conclusions In patients with a history of cancer, cranial nerve palsy due to brain metastasis was the most common cause, and it was more likely if the primary cancer had not been in remission for more than 1 year. Brain magnetic resonance imaging should be performed as soon as possible to confirm brain metastasis and a differential diagnosis including various other causes is also important.

Background: Cross-sex hormone therapy (CHT) changes the physical characteristics of transgender women to match their gender identity and expression. This study aimed to determine the effects of feminizing cross-sex hormones on body composition, bone mineral density (BMD) and muscle strength in transgender women. Methods: A prospective observational study assessed 11 participants who underwent feminizing CHT. Dual energy X-ray absorptiometry (DXA), and handgrip strength were measured before CHT and after 6-months of CHT. Fat mass, lean body mass (LBM), and BMD were measured by DXA and handgrip strength was measured by hand-dynamometer. Results: Regional body fat in the trunk, legs, and gynoid region increased by 18%, 27.4%, and 27.2%, respectively after 6 months of CHT. Total body fat increased by 16.2%, while the fat mass ratio decreased by 7.2%. Although body fat increased, the android/gynoid fat ratio decreased; BMD in the lumbar spine significantly increased by 3.9% (P=0.0051), but changes in the femoral neck (P=0.1969) and total femur (P=0.4769) were not significant. Changes in LBM ranged from -3% (trunk) to -8% (arm region). Right-hand grip strength also significantly decreased by 7.7% (P=0.0467). Conclusions After 6 months of CHT, transgender women showed a general increase in fat mass and a decreased in overall LBM and handgrip strength. Increase in fat mass percentage were more remarkable in gynoid region, leading to a more “female” body fat distribution.

Purpose: To report two rare cases of Brown McLean syndrome after cataract surgery in a patient with aphakia.Case summary: (Case 1) A 54-year-old woman with Marfan’s syndrome who had aphakia and peripheral corneal edema after left eye cataract surgery 4 years ago. The patient had an elevated lesion in the peripheral cornea without involving the central cornea, and had symptoms of pain, irritation and tearing. Specular microscopy showed normal endothelial cell density and morphology in the edematous cornea. The peripheral corneal edema improved after use of antibiotics, autoserum eyedrops and 5% NaCl eyedrops. (Case 2) A 61-year-old woman with aphakia in her left eye after bilateral cataract surgery 11 years ago, underwent surgery for a macular hole in both eyes. The patient developed peripheral corneal erosions and edema in the left eye 2 months after the surgery. Specular microscopy showed normal endothelial cell density and morphology. The peripheral corneal edema was static over the years while using 5% NaCl eyedrops and artificial tears, and did not progress to involve the central cornea. Conclusions Brown McLean syndrome is a rare disease but the possibility should be considered if a patient with aphakia after cataract surgery has peripheral corneal edema for several years.

Purpose: To report two rare cases of Brown McLean syndrome after cataract surgery in a patient with aphakia.Case summary: (Case 1) A 54-year-old woman with Marfan’s syndrome who had aphakia and peripheral corneal edema after left eye cataract surgery 4 years ago. The patient had an elevated lesion in the peripheral cornea without involving the central cornea, and had symptoms of pain, irritation and tearing. Specular microscopy showed normal endothelial cell density and morphology in the edematous cornea. The peripheral corneal edema improved after use of antibiotics, autoserum eyedrops and 5% NaCl eyedrops. (Case 2) A 61-year-old woman with aphakia in her left eye after bilateral cataract surgery 11 years ago, underwent surgery for a macular hole in both eyes. The patient developed peripheral corneal erosions and edema in the left eye 2 months after the surgery. Specular microscopy showed normal endothelial cell density and morphology. The peripheral corneal edema was static over the years while using 5% NaCl eyedrops and artificial tears, and did not progress to involve the central cornea. Conclusions Brown McLean syndrome is a rare disease but the possibility should be considered if a patient with aphakia after cataract surgery has peripheral corneal edema for several years.

The activation of neurotrophic signaling pathways following the upregulation of glial cell line-derived neurotrophic factor (GDNF), a member of the transforming growth factor-β family, has a potential neuroprotective effect in the adult brain. Herein, we report that hippocampal transduction of adeno-associated virus serotype 1 (AAV1) with a constitutively active form of ras homolog enriched in brain [Rheb(S16H)], which can stimulate the production of brain-derived neurotrophic factor (BDNF) in hippocampal neurons, induces the increases in expression of GDNF and GDNF family receptor α-1 (GFRα-1), in neurons and astrocytes in the hippocampus of rat brain in vivo . Moreover, upregulation of GDNF and GFRα-1 contributes to neuroprotection against thrombin-induced neurotoxicity in the hippocampus. These results suggest that AAV1-Rheb(S16H) transduction of hippocampal neurons, resulting in neurotrophic interactions between neurons and astrocytes, may be useful for neuroprotection in the adult hippocampus.

BACKGROUND: The prevalence of onychomycosis is increasing due to the recent increase of the elderly population and immunosuppressed individuals. Clinical studies on onychomycosis have been reported several times in Korea. However, the public awareness of onychomycosis has not received considerable attention, and there have been no Korean studies focused on it. OBJECTIVE: To evaluate public awareness and experience of onychomycosis in Korean. METHODS: A total of 621 participants were given questions developed for this survey. Sociodemographic characteristics, public awareness, general knowledge and experience about onychomycosis, and diagnostic and treatment behavior were surveyed. RESULTS: According to this survey, 99.5% of respondents have heard of onychomycosis, 79.4% of respondents experienced onychomycosis suspicious symptoms, and 52.8% of them responded that onychomycosis can be completely cured only by cleansing the hands and feet. The rate of self-diagnosis was 64.1% among the respondents who experienced symptoms. Only 23.9% of the respondents who were diagnosed with onychomycosis visited the hospital for the first time. Of the respondents, 54.6% who were treated at the hospital discontinued their treatments before complete cure mainly because of long treatment period. CONCLUSION Participants were well aware of onychomycosis, but the rate of self-diagnosis was high. They generally agreed to the importance of hospital treatment, but the number of patients visiting hospital was low. Moreover, people frequently discontinue their hospital treatment despite insufficient treatment duration. Patient's behaviors need to be changed, and the roles of dermatologists are important in the diagnosis, treatment, and education of the patients.

Cutaneous Rosai-Dorfman disease (RDD) is a rare, benign condition mainly affecting the lymph nodes and sometimes involving the skin. RDD is notorious for its poor response to medication, and surgery is often the preferred treatment option for limited lesions. Herein, we present a case of cutaneous RDD in a 49-year-old woman with multiple facial nodules that showed minimal response to treatment with steroids, isotretinoin, and methotrexate.The diagnosis of cutaneous RDD was confirmed based on histopathological examination. The patient showed minimal response to medication; however, electrosurgery resulted in a relatively good cosmetic response. The present case demonstrates that electrosurgery can be an effective treatment option for cutaneous RDD, especially in case of patients with multiple lesions. The rarity of this disease and the limited reports on its management highlights the need for further research on the efficacy of different surgical modalities for cutaneous RDD.

Objective: To develop and evaluate a deep learning model for automated segmentation and detection of bone metastasis on spinal MRI. Materials and Methods: We included whole spine MRI scans of adult patients with bone metastasis: 662 MRI series from 302 patients (63.5 ± 11.5 years; male:female, 151:151) from three study centers obtained between January 2015 and August 2021 for training and internal testing (random split into 536 and 126 series, respectively) and 49 MRI series from 20 patients (65.9 ± 11.5 years; male:female, 11:9) from another center obtained between January 2018 and August 2020 for external testing. Three sagittal MRI sequences, including non-contrast T1-weighted image (T1), contrast-enhanced T1-weighted Dixon fat-only image (FO), and contrast-enhanced fat-suppressed T1-weighted image (CE), were used. Seven models trained using the 2D and 3D U-Nets were developed with different combinations (T1, FO, CE, T1 + FO, T1 + CE, FO + CE, and T1 + FO + CE). The segmentation performance was evaluated using Dice coefficient, pixel-wise recall, and pixel-wise precision. The detection performance was analyzed using per-lesion sensitivity and a free-response receiver operating characteristic curve. The performance of the model was compared with that of five radiologists using the external test set. Results: The 2D U-Net T1 + CE model exhibited superior segmentation performance in the external test compared to the other models, with a Dice coefficient of 0.699 and pixel-wise recall of 0.653. The T1 + CE model achieved per-lesion sensitivities of 0.828 (497/600) and 0.857 (150/175) for metastases in the internal and external tests, respectively. The radiologists demonstrated a mean per-lesion sensitivity of 0.746 and a mean per-lesion positive predictive value of 0.701 in the external test. Conclusion The deep learning models proposed for automated segmentation and detection of bone metastases on spinal MRI demonstrated high diagnostic performance.